ai-observability
There are 26 repositories under ai-observability topic.
Arize-ai/phoenix
AI Observability & Evaluation
truera/trulens
Evaluation and Tracking for LLM Experiments and AI Agents
lmnr-ai/lmnr
Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24.
openlit/openlit
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
fiddler-labs/fiddler-auditor
Fiddler Auditor is a tool to evaluate language models.
radicalbit/radicalbit-ai-monitoring
A comprehensive solution for monitoring your AI models in production
Arize-ai/client_python
A python library to send data to Arize AI!
bluewave-labs/flagwise
Monitor, detect, and analyze security threats and Shadow AI in your LLM applications with comprehensive analytics and real-time alerting.
Dynatrace/obslab-llm-observability
Search for a holiday and get destination advice from an LLM. Observability by Dynatrace.
fiddler-labs/fiddler-report-generator
A report generator library for the ML models deployed on the Fiddler AI Observability platform
Arize-ai/client_java
Java client to interact with Arize API
arthur-ai/arthur-sandbox
Example projects for Arthur Model Monitoring Platform
okahu/okahu-demo
This repo hosts a chatbot that runs in a docker container to demo Okahu AI Observability Cloud
okahu/okahu-demo-openai
This repo hosts a chatbot that runs in Github Codespaces to demo Okahu AI Observability Cloud with OpenAI
openlit/dokumetry-python
Official Python Library to monitor your LLM Application with Doku
Shard-AI/Shard
Open Source Video Understanding API and Large Vision Model Observability Platform.
ksm26/Evaluating-AI-Agents
A hands-on course repository for Evaluating AI Agents, created with Arize AI, that teaches you how to systematically evaluate, debug, and improve AI agents using observability tools, structured experiments, and reliable metrics. Learn production-grade techniques to enhance agent performance during development and after deployment.
modelmetry/modelmetry-sdk-js
The Modelmetry JS/TS SDK allows developers to easily integrate Modelmetry’s advanced guardrails and monitoring capabilities into their LLM-powered applications.
modelmetry/modelmetry-sdk-python
The Modelmetry Python SDK allows developers to easily integrate Modelmetry’s advanced guardrails and monitoring capabilities into their LLM-powered applications.
openlit/dokumetry-node
Official NodeJS library for monitoring LLM Applications with Doku
boda12020202ws/OpenAI-Sora-SV
🎥 Create stunning, hyper-realistic videos from text with advanced editing and multi-modal understanding for unique storytelling experiences.
Shubham8831/LangSmith-Tutorial
🔍 Complete LangSmith Tutorial: Master AI Observability & Debugging | Learn to trace, monitor, and evaluate LLM applications with hands-on examples from simple chains to complex RAG pipelines and Agents
WeitLion/brokle
📊 Observe and route LLM apps with Brokle, your open-source solution for production-grade AI observability and transparent infrastructure management.